The association between white matter tract structural connectivity and information processing speed in relapsing-remitting multiple sclerosis

被引:2
作者
Chylinska, Magdalena [1 ]
Karaszewski, Bartosz [1 ]
Komendzinski, Jakub [1 ]
Wyszomirski, Adam [1 ]
Halas, Marek [1 ]
Szurowska, Edyta [2 ]
Sabisz, Agnieszka [2 ]
机构
[1] Med Univ Gdansk, Fac Med, Dept Adult Neurol, Debinki 7, PL-80211 Gdansk, Poland
[2] Med Univ Gdansk, Fac Med, Dept Radiol 2, Gdansk, Poland
关键词
Multiple sclerosis (MS); Information processing speed (IPS); MRI; Diffusion-weighted (DW); Diffusion tensor imaging (DTI); Tractography; Cognition; TRACULA (TRActs Constrained by UnderLying Anatomy); DIGIT MODALITIES TEST; COGNITIVE IMPAIRMENT; GEOMETRICALLY ACCURATE; ATROPHY; BRAIN; MRI; DYSFUNCTION; SEGMENTATION; TRACTOGRAPHY; PERFORMANCE;
D O I
10.1007/s10072-023-06817-6
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background Information processing speed (IPS) deterioration is common in relapsing-remitting multiple sclerosis (RRMS) patients [1] and might severely affect quality of life and occupational activity. However, understanding of its neural substrate is not fully elucidated. We aimed to investigate the associations between MRI-derived metrics of neuroanatomical structures, including the tracts, and IPS. Methods Symbol Digit Modalities Test (SDMT), Paced Auditory Serial Addition Test (PASAT), and Color Trails Test (CTT) were used to evaluate IPS in 73 RRMS consecutive patients, all undergoing only interferon beta (IFN-beta) therapy during the study. At the same time, 1.5T MRI including diffusion tensor imaging (DTI) data was acquired for each recruited subject. We analyzed volumetric and diffusion MRI measures (FreeSurfer 6.0) including normalized brain volume (NBV), cortical thickness (thk), white matter hypointensities (WMH), volume (vol), diffusion parameters: mean (MD), radial (RD), axial (AD) diffusivities, and fractional anisotropy (FA) of 18 major white-matter (WM) tracts. Multiple linear regression model with interaction resulted in distinguishing the neural substrate of IPS deficit in the IPS impaired subgroup of patients. Results The most significant tract abnormalities contributing to IPS deficit were right inferior longitudinal fasciculus (R ILF) FA, forceps major (FMAJ) FA, forceps minor (FMIN) FA, R uncinate fasciculus (UNC) AD, R corticospinal tract (CST) FA, and left superior longitudinal fasciculus FA (L SLFT). Among volumetric MRI metrics, IPS deficit was associated with L and R thalamic vol. and cortical thickness of insular regions. Conclusion In this study, we showed that disconnection of the selected WM tracts, in addition to cortical and deep gray matter (GM) atrophy, might underlie IPS deficit in RRMS patients but more extensive studies are needed for precise associations.
引用
收藏
页码:3221 / 3232
页数:12
相关论文
共 57 条
[1]  
[Anonymous], 1987, BDI: Beck Depression Inventory, Manual
[2]   Brief Computer-Based Information Processing Measures are Linked to White Matter Integrity in Pediatric-Onset Multiple Sclerosis [J].
Bartlett, Elizabeth ;
Shaw, Michael ;
Schwarz, Colleen ;
Feinberg, Charles ;
DeLorenzo, Christine ;
Krupp, Lauren B. ;
Charvet, Leigh E. .
JOURNAL OF NEUROIMAGING, 2019, 29 (01) :140-150
[3]  
Beck AT, BD 2 INWENTARZ DEPRE
[4]   Validity of the minimal assessment of cognitive function in multiple sclerosis (MACHMS) [J].
Benedict, Ralph H. B. ;
Cookfair, Diane ;
Gavett, Rebecca ;
Gunther, Mark ;
Munschauer, Frederick ;
Garg, Neeta ;
Weinstock-Guttman, Bianca .
JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY, 2006, 12 (04) :549-558
[5]   Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues [J].
Benedict, Ralph H. B. ;
Amato, Maria Pia ;
DeLuca, John ;
Geurt, Jeroen J. G. .
LANCET NEUROLOGY, 2020, 19 (10) :860-871
[6]   Validity of the Symbol Digit Modalities Test as a cognition performance outcome measure for multiple sclerosis [J].
Benedict, Ralph H. B. ;
DeLuca, John ;
Phillips, Glenn ;
LaRocca, Nicholas ;
Hudson, Lynn D. ;
Rudick, Richard .
MULTIPLE SCLEROSIS JOURNAL, 2017, 23 (05) :721-733
[7]   Prediction of neuropsychological impairment in multiple sclerosis - Comparison of conventional magnetic resonance imaging measures of atrophy and lesion burden [J].
Benedict, RHB ;
Weinstock-Guttman, B ;
Fishman, I ;
Sharma, J ;
Tjoa, CW ;
Bakshi, R .
ARCHIVES OF NEUROLOGY, 2004, 61 (02) :226-230
[8]   Localized atrophy of the thalamus and slowed cognitive processing speed in MS patients [J].
Bergsland, Niels ;
Zivadinov, Robert ;
Dwyer, Michael G. ;
Weinstock-Guttman, Bianca ;
Benedict, Ralph H. B. .
MULTIPLE SCLEROSIS JOURNAL, 2016, 22 (10) :1327-1336
[9]   Attention and processing speed performance in multiple sclerosis is mostly related to thalamic volume [J].
Bisecco, Alvino ;
Stamenova, Svetlana ;
Caiazzo, Giuseppina ;
d'Ambrosio, Alessandro ;
Sacco, Rosaria ;
Docimo, Renato ;
Esposito, Sabrina ;
Cirillo, Mario ;
Esposito, Fabrizio ;
Bonavita, Simona ;
Tedeschi, Gioacchino ;
Gallo, Antonio .
BRAIN IMAGING AND BEHAVIOR, 2018, 12 (01) :20-28
[10]   Classifying multiple sclerosis patients on the basis of SDMT performance using machine learning [J].
Buyukturkoglu, Korhan ;
Zeng, Dana ;
Bharadwaj, Srinidhi ;
Tozlu, Ceren ;
Mormina, Enricomaria ;
Igwe, Kay C. ;
Lee, Seonjoo ;
Habeck, Christian ;
Brickman, Adam M. ;
Riley, Claire S. ;
De Jager, Philip L. ;
Sumowski, James F. ;
Leavitt, Victoria M. .
MULTIPLE SCLEROSIS JOURNAL, 2021, 27 (01) :107-116